A tailored course, built for your situation
Deeper command of the ISO 42001 implementation framework
Master the structure, controls, and evaluation process behind trusted AI systems
$199 one-time
24-hour access provisioning
30-day money-back guarantee
Hand-built implementation playbook
12 modules. 12 chapters per module. 144 chapters total.
12 modules, each with 12 chapters (144 chapters total), text-based, plus downloadable templates and a hand-built implementation playbook delivered alongside course access.
Who this is for
Senior governance, risk, or compliance leader advising across high-growth technology organizations
Who this is not for
Practitioners focused only on tactical compliance checks without strategic framework ownership
What you walk away with
- Complete command of the ISO 42001 control framework, including context mapping and risk assessment criteria
- Ability to author governance statements aligned with ISO 42001 clauses without external support
- Internal audit templates customized to organizational AI use cases
- Evaluation checklists for AI system conformity that survive third-party scrutiny
- Repeatable methodology for guiding teams from policy intent to certified implementation
The 12 modules (with all 144 chapters)
Module 1. Understanding ISO 42001 scope and applicability
Define the boundaries and relevance of ISO 42001 for AI governance within complex organizational landscapes.
12 chapters in this module
- What ISO 42001 governs and what it does not
- Differentiating from NIST AI RMF and OECD principles
- When to apply ISO 42001 vs other frameworks
- Mapping organisational AI activities to clause 4
- Establishing governance context
- Identifying management intent indicators
- Determining external stakeholder expectations
- Assessing regulatory alignment needs
- Scoping AI system lifecycle coverage
- Handling multi-jurisdictional deployments
- Defining roles in oversight structure
- Documenting scope justification
Module 2. Leadership and commitment requirements
Implement clause 5 obligations with precision, ensuring executive sponsorship is documented and actionable.
12 chapters in this module
- Top management accountability definition
- Establishing AI policy ownership
- Securing documented leadership endorsement
- Communicating governance expectations
- Assigning authority for AI risk decisions
- Integrating with enterprise risk frameworks
- Creating escalation paths for non-conformance
- Linking to board communication cycles
- Reviewing policy effectiveness annually
- Updating commitments after incidents
- Demonstrating leadership engagement
- Maintaining policy archives
Module 3. Planning AI risk management
Build repeatable processes for identifying, assessing, and treating AI risks per ISO 42001 clause 6.
12 chapters in this module
- Defining risk criteria thresholds
- Inventorying AI systems in use
- Classifying AI impact levels
- Identifying algorithmic bias exposure
- Mapping data provenance risks
- Assessing explainability gaps
- Evaluating human oversight sufficiency
- Determining autonomy boundaries
- Conducting risk treatment planning
- Selecting controls from Annex A
- Documenting risk acceptance rationale
- Establishing review cadence
Module 4. Supporting the AI management system
Ensure ongoing competence, awareness, and communication across governance functions.
12 chapters in this module
- Defining required expertise levels
- Training plan development
- Maintaining competence records
- Internal communication protocols
- External stakeholder outreach
- Document control procedures
- Versioning governance assets
- Securing documentation access
- Maintaining update logs
- Ensuring language clarity
- Archiving deprecated versions
- Auditing communication effectiveness
Module 5. Operational controls for AI systems
Deploy controls across development, deployment, and monitoring phases per Annex A.
12 chapters in this module
- Designing pre-deployment assessments
- Validating model fairness metrics
- Ensuring human-in-the-loop thresholds
- Implementing transparency documentation
- Securing model update processes
- Logging decision pathways
- Monitoring for drift and degradation
- Establishing feedback loops
- Handling incident reporting
- Enabling model withdrawal
- Managing third-party components
- Auditing control effectiveness
Module 6. Evaluation of conformity and performance
Structure internal evaluations that mirror external audit expectations.
12 chapters in this module
- Creating evaluation checklists
- Scheduling internal assessment cycles
- Selecting evaluators and teams
- Reviewing policy implementation
- Testing control operation
- Analyzing incident response
- Evaluating training adequacy
- Assessing stakeholder feedback
- Documenting findings
- Prioritizing follow-up actions
- Reporting results to leadership
- Updating evaluation methods
Module 7. Improvement and nonconformity management
Turn evaluation insights into structured improvement cycles.
12 chapters in this module
- Classifying nonconformities
- Initiating correction workflows
- Determining root causes
- Applying corrective actions
- Verifying action effectiveness
- Updating risk assessments
- Revising policies as needed
- Informing stakeholders of changes
- Tracking open issues
- Closing improvement loops
- Preventing recurrence
- Maintaining improvement records
Module 8. Building the AI governance statement
Author a complete, defensible governance statement per ISO 42001 clause 4.4.
12 chapters in this module
- Stating organizational intent
- Defining AI principles
- Describing oversight structure
- Outlining risk appetite
- Detailing human oversight model
- Clarifying transparency approach
- Specifying data ethics stance
- Documenting model lifecycle rules
- Establishing audit rights
- Committing to continuous improvement
- Aligning with corporate values
- Securing leadership sign-off
Module 9. Internal audit execution
Plan and conduct audits that verify compliance and build confidence.
12 chapters in this module
- Planning audit scope and frequency
- Selecting audit criteria
- Developing checklists
- Scheduling audit windows
- Conducting opening meetings
- Collecting evidence samples
- Interviewing process owners
- Assessing objective evidence
- Drafting findings
- Holding closing discussions
- Reporting results
- Tracking audit follow-up
Module 10. Preparing for certification readiness
Align internal maturity with external auditor expectations.
12 chapters in this module
- Selecting certification bodies
- Understanding auditor expectations
- Mapping controls to clauses
- Gathering evidence portfolios
- Conducting pre-certification reviews
- Addressing gaps systematically
- Staging management interviews
- Validating documentation sets
- Running mock audits
- Finalizing governance statement
- Submitting for review
- Responding to certification queries
Module 11. Sustaining the AI management system
Maintain compliance and relevance over time through structured review.
12 chapters in this module
- Scheduling management reviews
- Updating governance context
- Reviewing risk assessments
- Evaluating audit results
- Assessing policy effectiveness
- Identifying improvement needs
- Adjusting objectives
- Approving changes
- Communicating updates
- Recording decisions
- Updating documentation
- Ensuring continuity
Module 12. Scaling governance across portfolios
Replicate ISO 42001 implementation across multiple organizations and domains.
12 chapters in this module
- Identifying common control patterns
- Creating reusable templates
- Standardizing evaluation methods
- Training additional teams
- Establishing centres of excellence
- Enabling peer review
- Sharing best practices
- Harmonizing across subsidiaries
- Managing federated oversight
- Benchmarking performance
- Driving cross-portfolio consistency
- Documenting scaling lessons
How this maps to your situation
- When launching AI governance in a new organisation
- Before an external audit cycle
- After a major AI incident or oversight gap
- During board-level review of AI risk posture
Before vs. after
Before
Reliance on consultants or fragmented internal efforts to interpret ISO 42001 requirements
After
Full ownership of the standard’s application, with confidence to lead implementation independently
What's included with your purchase
- 12 modules with 12 chapters each (144 chapters)
- Downloadable templates and worked examples for every module
- Hand-built implementation playbook delivered alongside course access
- 30-day money-back guarantee
Delivery and format
- Course and learning environment access provisioned within 24 hours of purchase
- Hand-built implementation playbook delivered alongside course access
Format: Text-based modules and chapters in the Art of Service learning environment, plus downloadable templates and worked examples for every chapter, plus the hand-built implementation playbook delivered alongside course access.
Time investment: Approximately 3 hours per module, designed for completion within 8 weeks with flexible pacing.
How this compares to the alternatives
Unlike generic compliance courses, this program delivers exact clause-by-clause mastery of ISO 42001 with field-tested implementation patterns used in high-growth tech environments.
Frequently asked
Who is this course for?
Senior governance and risk professionals leading AI accountability in complex or multi-entity environments.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Do I need prior ISO experience?
No, this course builds from first principles and is designed for technical leaders stepping into governance ownership.
$199 one-time. Approximately 3 hours per module, designed for completion within 8 weeks with flexible pacing..
Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.
30-day money-back guarantee·
144 chapters·
Hand-built playbook included·
Account access within 24 hours